Triple

T1819287
Position Surface form Disambiguated ID Type / Status
Subject Alfréd Rényi E40505 entity
Predicate employer P7 FINISHED
Object Hungarian Academy of Sciences E191954 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Hungarian Academy of Sciences | Statement: [Alfréd Rényi, employer, Hungarian Academy of Sciences]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hungarian Academy of Sciences
Context triple: [Alfréd Rényi, employer, Hungarian Academy of Sciences]
  • A. Hungarian Academy of Sciences chosen
    The Hungarian Academy of Sciences is Hungary’s foremost scholarly institution, responsible for supporting and coordinating scientific research and representing the country’s academic community.
  • B. University of Budapest
    The University of Budapest is a historic Hungarian higher education institution known for producing prominent scholars, including mathematician John von Neumann.
  • C. University of Szeged
    The University of Szeged is one of Hungary’s leading public research universities, known for its strong academic programs and historic campus in the city of Szeged.
  • D. Austrian Academy of Sciences
    The Austrian Academy of Sciences is Austria’s leading national learned society and research institution, encompassing a wide range of disciplines in the humanities, social sciences, and natural sciences.
  • E. University of Pécs
    The University of Pécs is one of Hungary’s oldest and largest higher education institutions, offering a wide range of academic programs and research activities across multiple faculties.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a8864526c081908a3a4d74f689e2c5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa65f9f32c819084948e7ce7fa6f2e completed March 6, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf629af48190a27fddc764e306a7 completed March 8, 2026, 6:26 p.m.
Created at: March 4, 2026, 7:32 p.m.